蔬菜Issue(8)：107-116,10.DOI:10.26924/j.cnki.sczz.2026.8008
设施番茄品质智能管控技术现状与发展趋势
Status and Development Trends of Intelligent Quality Control Technologies for Tomatoes in Protected Cultivation
摘要
Abstract
As a representative high-value-added crop in protected agriculture,the intelligent quality control and management technology for protected tomatoes is emerging as a key pathway for improving product quality,optimizing resource allocation,and achieving green production.This review systematically summarizes the research progress in intelligent quality management and control for tomatoes in protected cultivation,focusing on three core domains including intelligent environmental control,computer vision detection and knowledge-driven decision making.It elaborates on various environmental optimization strategies such as fuzzy control,decoupling control,deep learning and reinforcement learning,as well as the applications of computer vision in pest and disease identification and non-destructive fruit quality assessment.Furthermore,it summarizes practical explorations and the application of knowledge graphs and large multimodal models in intelligent agricultural decision systems.While intelligent management and control technologies have effectively improved disease recognition efficiency,quality prediction accuracy and energy utilization levels,challenges such as difficulties in multi-source heterogeneous data integration,the absence of unified quality standards,complex coupling of environmental control factors and high implementation costs still remain.Future efforts should focus on establishing unified data standards and sharing platforms,developing highly adaptive intelligent algorithms and low-cost sensing systems,to promote the transition of protected-cultivation tomato production toward intelligent,standardized and green practices.关键词
设施番茄/智能管控/计算机视觉/知识驱动/环境调控/精准农业Key words
tomato in protected cultivation/intelligent control/computer vision/knowledge driven/environmental regulation/precision agriculture分类
农业科技引用本文复制引用
王筱琪,缪祎晟,朱华吉..设施番茄品质智能管控技术现状与发展趋势[J].蔬菜,2026,(8):107-116,10.基金项目
国家重点研发计划项目(2023YFD1600304) （2023YFD1600304）
国家现代农业产业技术体系项目(CARS-23-D07) （CARS-23-D07）
北京市智慧农业创新团队项目(BAIC10-2025). （BAIC10-2025）
